Conveners
Plenary Session Friday
- Philip Grace (The University of Adelaide)
This presentation will highlight the socio-economic elements of Python. Considering the social differences in big cities like Rio de Janeiro, learning Python offers new opportunities for underprivileged groups. We will show how we use the combination of Python and the CMS Open data to encourage high-school students to follow their curiosity in STEM and how we foster this attraction through...
CERN's Open Data Portal has 1000's of datasets, in many formats. The ServiceX project reads experiment data files of various formats and translates them into columnar formats. This talk will demonstrate taking the CMS and ATLAS demonstration Higgs samples from the CERN Open Data Portal and using Servicex, coffea, and other python tools like awkward array to re-discover the Higgs from both...
There is an increasing demand for declarative analysis interfaces that allow users to avoid writing event loops. This simplifies code and enables performance improvements via vectorized columnar operations. A new analysis description language (ADL) inspired by functional programming, FuncADL, was developed using Python as a host language. In addition to providing a declarative, functional...
LUMIN is a deep-learning and data-analysis ecosystem for High-Energy Physics. Similar to Keras and fastai it is a wrapper framework for a graph computation library (PyTorch), but includes many useful functions to handle domain-specific requirements and problems. It also intends to provide easy access to state-of-the-art methods, but still be flexible enough for users to inherit from base...
